Search

Your search keyword '"Washington University in St Louis"' showing total 20,254 results
Start Over Author "Washington University in St Louis"
20,254 results on '"Washington University in St Louis"'

65. Amazon tree dominance across forest strata

Author

Jérôme Chave, Katherine H Roucoux, Gregory P. Asner, Frederick C. Draper, Ricardo Keichi Umetsu, C. E. Timothy Paine, Mauricio Sánchez Sáenz, Eliana Jimenez-Rojas, J. Sebastián Tello, Julien Engel, Raquel Thomas, Dilys M. Vela, David W. Galbraith, Kenneth R. Young, Marcelo Petratti Pansonato, Timothy J. Killeen, Fernanda Coelho de Souza, José Luís Camargo, Jim Vega Arenas, Roosevelt Garcia Villacorta, Jean-François Molino, Francisco Dallmeier, Antonio S. Lima, Fernanda Carvalho, Luzmila Arroyo, Gerardo Aymard, Abel Monteagudo-Mendoza, Ben Hur Marimon Junior, Germaine Alexander Parada Gutierrez, Jonathan Lloyd, Walter A. Palacios, Rodolfo Vásquez Martínez, Tinde van Andel, Sabina Cerruto Ribeiro, Narel Y.Paniagua Zambrana, Adriana Prieto, Marcos José Salgado Vital, Richarlly da Costa Silva, Gabriel Damasco, James A. Comiskey, Gabriel Arellano, Carlos A. Guerra, Oscar J.Valverde Barrantes, Klécia Gili Massi, Marcos Ríos Paredes, José Julio de Toledo, Gilberto E.Navarro Aguilar, Thomas E. Lovejoy, Victor Chama Moscoso, José Reyna Huaymacari, William E. Magnusson, Sandra Patiño, Renato R. Hilário, Guido Pardo, Manuel Flores, Paul E. Berry, Miguel Alexiades, Ricardo de Oliveira Perdiz, Hans ter Steege, Fredy R. Ramirez Arévalo, Nállarett Dávila, Adriane Esquivel Muelbert, Fabricio Beggiato Baccaro, Vincent A. Vos, Juliana Schietti, Erika Berenguer, Elvis Valderamma Sandoval, Nigel C. A. Pitman, Joost F. Duivenvoorden, Rodrigo Sierra, Beatriz Schwantes Marimon, Daniel Sabatier, Kyle G. Dexter, Ted R. Feldpausch, Jessica Soares Cravo, Claire Fortunel, Elodie Allie, Italo Mesones, Eurídice N. Honorio Coronado, Flávia R. C. Costa, Hirma Ramírez-Angulo, Carolina V. Castilho, Ima Célia Guimarães Vieira, Leslie Cayola Pérez, Maxime Réjou-Méchain, Ophelia Wang, Oliver L. Phillips, Pascal Petronelli, Flávia Delgado Santana, Roel J. W. Brienen, Alberto Vicentini, Alfredo F. Fuentes, Michelle Kalamandeen, Kalle Ruokolainen, Luis Valenzuela Gamarra, Rafael de Paiva Salomão, Ângelo Gilberto Manzatto, Cesar J.Cordova Oroche, Aurélie Dourdain, Marcos Silvera, Luisa Fernanda Casas, Niro Higuchi, Jacob B. Socolar, Susan G. Laurance, Ana C. Andrade, Gerardo Flores Llampazo, Jason Vleminckx, Karina Melgaço, William F. Laurance, Jean Yves Goret, Sophie Fauset, John Pipoly, Jhon del Aguila Pasquel, Luis A. Torres Montenegro, Julio Miguel Grandez Rios, Ricardo Zárate Gómez, Mathias Disney, Paul V. A. Fine, Ana M. Aldana, Henrique E. M. Nascimento, André Braga Junqueira, Nayane C.C.S. Prestes, Christopher Baraloto, Sidney Araújo de Sousa, Emilio Vilanova Torre, Wenderson Castro, Alvaro Duque, Percy Núñez Vargas, John Terborgh, Yadvinder Malhi, Pablo Roberto Stevenson Diaz, Timothy R. Baker, Darcy F. Galiano Cabrera, Carlos Cerón, Manuel J. Macía, Peter M. Jørgensen, Thaiane Rodrigues de Sousa, Armando Torres-Lezama, David A. Neill, Juan Ernesto Guevara Andino, Luiz E. O. C. Aragão, M. C. Peñuela, Alejandro Araujo-Murakami, Systems Ecology, Ecosystem and Landscape Dynamics (IBED, FNWI), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), ANR-13-BSV7-0009,NEBEDIV,Le rôle des ennemis naturels dans la diversité béta des arbres tropicaux(2013), ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010), European Project: 291585,EC:FP7:ERC,ERC-2011-ADG_20110209,T-FORCES(2012), Florida International University, University of Leeds, Arizona State University, Instituto Nacional de Pesquisas da Amazônia (INPA), University of Michigan, Universidad Nacional de Colombia, Universidad Autónoma de Madrid, Naturalis Biodiversity Center, Vrije Universiteit, Lancaster University, University of Oxford, Norwegian University of Life Sciences, University of Edinburgh, Missouri Botanical Garden, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Universidad Nacional de San Antonio Abad del Cusco, University of California Berkeley, University of Turku, Instituto de Investigaciones de la Amazonía Peruana, Herbario Universitario (PORT), Compensation International Progress S. A.—Ciprogress Greenlife, IRD, University of New England, Université de Guyane, UMR EcoFoG, Universidad de Las Américas, Herbario Nacional de Bolivia, Universidade Federal de Rondônia, Laboratoire Evolution et Diversité Biologique (EDB) CNRS/UPS, University of Plymouth, Cornell University, University of Exeter, Universidad Nacional de la Amazonía Peruana, Estación Biológica del Jardín Botánico de Missouri, Universitat Autònoma de Barcelona, University of St Andrews, Federal University of Amapá, James Cook University, George Mason University, National Park Service, Smithsonian Institution, University of Cambridge, Laurentian University, Instituto Nacional de Innovación Agraria (INIA), Universidad Nacional de la Amazonia Peruana, Universidade de São Paulo (USP), University of Amsterdam, Universidade Federal de Roraima, Universidad Autónoma Gabriel Rene Moreno, Universidad do Estado de Mato Grosso, Universidade Federal do Rio Grande do Norte, University of Minnesota, University College London, Universidad de Los Andes (Colombia), Universidade Federal do Acre, Duke University, Iwokrama International Centre for Rainforest Conservation and Development, Smithsonian’s National Zoo & Conservation Biology Institute, Universidade Federal Rural da Amazônia—UFRA/CAPES, Museu Paraense Emílio Goeldi, Universidad de Los Andes, Universidad de los Andes, University of Washington, Universidad Regional Amazónica Ikiam, Agteca-Amazonica, Universidad Autónoma del Beni, Broward County Parks and Recreation, Florida Atlantic University-Davie, Universidad Estatal Amazónica, Washington University in St Louis, National Institute for Space Research (INPE), Geoinformática & Sistemas (GeoIS), Northern Arizona University, University of Texas at Austin, Universidade Estadual Paulista (Unesp), University of Kent, Universidade Federal do Amazonas, Universidad Central del Ecuador, University of Birmingham, Imperial College London, The Field Museum, Herbario Nacional del Ecuador, Research Institute Alexander von Humboldt, University of St Andrews. School of Geography & Sustainable Development, and University of St Andrews. Environmental Change Research Group

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, Range (biology), Amazonian, Biodiversity, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 010603 evolutionary biology, 01 natural sciences, Trees, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, SD Forestry, SDG 13 - Climate Action, Humans, Dominance (ecology), Ecology, Evolution, Behavior and Systematics, SD, 0105 earth and related environmental sciences, SDG 15 - Life on Land, GE, Ecology, Amazon rainforest, DAS, Plant community, Understory, 15. Life on land, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Tropical ecology, Geography, 13. Climate action, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Brazil, GE Environmental Sciences
Abstract

Made available in DSpace on 2021-06-25T10:27:12Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) The forests of Amazonia are among the most biodiverse plant communities on Earth. Given the immediate threats posed by climate and land-use change, an improved understanding of how this extraordinary biodiversity is spatially organized is urgently required to develop effective conservation strategies. Most Amazonian tree species are extremely rare but a few are common across the region. Indeed, just 227 ‘hyperdominant’ species account for >50% of all individuals >10 cm diameter at 1.3 m in height. Yet, the degree to which the phenomenon of hyperdominance is sensitive to tree size, the extent to which the composition of dominant species changes with size class and how evolutionary history constrains tree hyperdominance, all remain unknown. Here, we use a large floristic dataset to show that, while hyperdominance is a universal phenomenon across forest strata, different species dominate the forest understory, midstory and canopy. We further find that, although species belonging to a range of phylogenetically dispersed lineages have become hyperdominant in small size classes, hyperdominants in large size classes are restricted to a few lineages. Our results demonstrate that it is essential to consider all forest strata to understand regional patterns of dominance and composition in Amazonia. More generally, through the lens of 654 hyperdominant species, we outline a tractable pathway for understanding the functioning of half of Amazonian forests across vertical strata and geographical locations. Institute of Environment Department of Biological Sciences Florida International University School of Geography University of Leeds Center for Global Discovery and Conservation Science Arizona State University Instituto Nacional de Pesquisas da Amazônia (INPA) Ecology and Evolutionary Biology University of Michigan Departamento de Ciencias Forestales Universidad Nacional de Colombia Departamento de Biología Universidad Autónoma de Madrid Centro de Investigación en Biodiversidad y Cambio Global (CIBC-UAM) Universidad Autónoma de Madrid Naturalis Biodiversity Center Systems Ecology Vrije Universiteit Lancaster Environment Centre Lancaster University Environmental Change Institute University of Oxford Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences School of Geosciences University of Edinburgh Missouri Botanical Garden Brazilian Agricultural Research Corporation (Embrapa) Universidad Nacional de San Antonio Abad del Cusco Department of Intergrative Biology University of California Berkeley Department of Biology University of Turku Instituto de Investigaciones de la Amazonía Peruana UNELLEZ-Guanare Programa de Ciencias del Agro y el Mar Herbario Universitario (PORT) Compensation International Progress S. A.—Ciprogress Greenlife AMAP Université de Montpellier CIRAD CNRS INRAE IRD Environmental and Rural Science University of New England INRA UMR EcoFoG AgroParisTech CNRS CIRAD Université des Antilles Université de Guyane CIRAD UMR EcoFoG BIOMAS Universidad de Las Américas Instituto de Ecología Herbario Nacional de Bolivia Departamento de Biologia Universidade Federal de Rondônia Laboratoire Evolution et Diversité Biologique (EDB) CNRS/UPS School of Geography Earth and Environmental Sciences University of Plymouth Department of Ecology and Evolutionary Biology Cornell University Department of Geography University of Exeter Facultad de Ciencias Biológicas Universidad Nacional de la Amazonía Peruana Estación Biológica del Jardín Botánico de Missouri Institut de Ciència i Tecnologia Ambientals Universitat Autònoma de Barcelona School of Geography & Sustainable Development University of St Andrews Department of Environment and Development Federal University of Amapá Centre for Tropical Environmental and Sustainability Science (TESS) and College of Marine and Environmental Sciences James Cook University Department of Environmental Science and Policy George Mason University Inventory and Monitoring Program National Park Service Smithsonian Institution Department of Plant Sciences University of Cambridge Living with Lakes Centre Laurentian University DRGB Instituto Nacional de Innovación Agraria (INIA) Herbarium Amazonense (AMAZ) Universidad Nacional de la Amazonia Peruana Department of Ecology Universidade de São Paulo Institute for Biodiversity and Ecosystem Dynamics University of Amsterdam Centro de Estudos da Biodiversidade Universidade Federal de Roraima Museo de Historia Natural Noel Kempff Mercado Universidad Autónoma Gabriel Rene Moreno Faculdade de Ciências Agrárias Biológicas e Sociais Aplicadas Universidad do Estado de Mato Grosso Centro de Biociências Universidade Federal do Rio Grande do Norte Department of Ecology Evolution and Behaviour University of Minnesota Department of Geography University College London Departamento de Ciencias Biológicas Universidad de Los Andes (Colombia) Centro de Ciências Biológicas e da Natureza Universidade Federal do Acre Nicholas School of the Environment Duke University Iwokrama International Centre for Rainforest Conservation and Development Smithsonian’s National Zoo & Conservation Biology Institute Instituto de Ciencias Naturales Universidad Nacional de Colombia Universidade Federal Rural da Amazônia—UFRA/CAPES Museu Paraense Emílio Goeldi Laboratorio de Ecología de Bosques Tropicales y Primatología Fundación Natura Colombia Universidad de Los Andes Facultad de Forestales Universidad Nacional de la Amazonía Peruana Institute of Research for Forestry Development Universidad de los Andes School of Environmental and Forest Sciences (SEFS) University of Washington Universidad Regional Amazónica Ikiam Agteca-Amazonica Universidad Autónoma del Beni Instituto Amazónico de Investigaciones (IMANI) Universidad Nacional de Colombia Broward County Parks and Recreation Biological Sciences Florida Atlantic University-Davie Museu Universitário Universidade Federal do Acre Facultad de Ingeniería Ambiental Universidad Estatal Amazónica Department of Biology Washington University in St Louis National Institute for Space Research (INPE) Geoinformática & Sistemas (GeoIS) School of Earth Sciences and Environmental Sustainability Northern Arizona University Department of Geography and the Environment University of Texas at Austin Instituto de Ciência e Tecnologia São Paulo State University (UNESP) School of Anthropology and Conservation University of Kent Universidade Federal do Amazonas Herbario Alfredo Paredes (QAP) Universidad Central del Ecuador School of Geography Earth and Environmental Sciences University of Birmingham Department of Life Sciences Imperial College London Science and Education The Field Museum Universidad Tecnica del Norte Herbario Nacional del Ecuador Research Institute Alexander von Humboldt Instituto de Ciência e Tecnologia São Paulo State University (UNESP)

Published
2021
Full Text
View/download PDF

72. Autophagy buffers Ras-induced genotoxic stress enabling malignant transformation in keratinocytes primed by human papillomavirus

Author

Enrique Boccardo, Alexandre T. Vessoni, Matheus H. Dias, Marcelo S. Reis, Marcelo Santos da Silva, Hugo A. Armelin, Julianna D. Zeidler, Eduardo Cararo-Lopes, Instituto Butantan, Universidade de São Paulo (USP), Universidade do Estado de São Paulo, Washington University in St. Louis, Mayo Clinic College of Medicine, and Rutgers Cancer Institute of New Jersey

Subjects
Cancer Research, Transition (genetics), lcsh:Cytology, Immunology, Autophagy, HPV infection, Cell Biology, Genotoxic Stress, Oxidative phosphorylation, Biology, Cell cycle, medicine.disease, Article, Malignant transformation, Stress signalling, Cellular and Molecular Neuroscience, Mechanisms of disease, Macroautophagy, Cancer research, medicine, lcsh:QH573-671, Human papillomavirus, Cancer models, ONCOPROTEÍNAS
Abstract

Made available in DSpace on 2022-04-29T08:45:30Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-02-01 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Malignant transformation involves an orchestrated rearrangement of cell cycle regulation mechanisms that must balance autonomic mitogenic impulses and deleterious oncogenic stress. Human papillomavirus (HPV) infection is highly prevalent in populations around the globe, whereas the incidence of cervical cancer is 0.15%. Since HPV infection primes cervical keratinocytes to undergo malignant transformation, we can assume that the balance between transforming mitogenic signals and oncogenic stress is rarely attained. We showed that highly transforming mitogenic signals triggered by HRasG12V activity in E6E7–HPV–keratinocytes generate strong replication and oxidative stresses. These stresses are counteracted by autophagy induction that buffers the rapid increase of ROS that is the main cause of genotoxic stress promoted by the oncoprotein. As a result, autophagy creates a narrow window of opportunity for malignant keratinocytes to emerge. This work shows that autophagy is crucial to allow the transition of E6E7 keratinocytes from an immortalized to a malignant state caused by HRasG12V. Center of Toxins Immune-response and Cell Signaling Instituto Butantan Department of Biochemistry Instituto de Química Universidade de São Paulo Department of Chemical and Biological Sciences Instituto de Biociência Universidade do Estado de São Paulo Department of Medicine Washington University in St. Louis Department of Microbiology Instituto de Biociências Universidade de São Paulo Kogod Aging Center Department of Anesthesiology and Perioperative Medicine Mayo Clinic College of Medicine Rutgers Cancer Institute of New Jersey

Published
2021

88. PED in 2021: a major update of the protein ensemble database for intrinsically disordered proteins

Author

Kiersten M. Ruff, Tamas Lazar, Claudiu C. Gradinaru, María Silvina Fornasari, Silvio C. E. Tosatto, Javier Iserte, Marie Skepö, Julia Marchetti, Sonia Longhi, Teresa Head-Gordon, Toby J. Gibson, Nicolás A. Méndez, Gregory-Neal W. Gomes, Malene Ringkjøbing Jensen, Nicolás A. Garrone, Pau Bernadó, Martin Blackledge, Alexander Miguel Monzon, Dmitri I. Svergun, András Hatos, Julie D. Forman-Kay, Cristina Marino-Buslje, Edward A. Lemke, Eric Fagerberg, Ana Julia Velez Rueda, Sylvain D. Vallet, Elizabeth Martínez-Pérez, Sylvie Ricard-Blum, Tiago N. Cordeiro, Federica Quaglia, Tadeo E. Saldaño, Damiano Piovesan, Peter Tompa, Tanja Mittag, Gustavo Parisi, Mihaly Varadi, Rohit V. Pappu, Lucía B. Chemes, Giovanni Minervini, Edoardo Salladini, Structural Biology Brussels (SBB), Vrije Universiteit Brussel (VUB), Universita degli Studi di Padova, Aix-Marseille Université - Faculté de pharmacie (AMU PHARM), Aix Marseille Université (AMU), Institut de biologie structurale (IBS - UMR 5075), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA), Università degli Studi di Padova = University of Padua (Unipd), Thomas, Frank, Architecture et fonction des macromolécules biologiques (AFMB), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Faculty of Sciences and Bioengineering Sciences, Department of Bio-engineering Sciences, Structural Biology Brussels, Fundación Instituto Leloir [Buenos Aires], Instituto de Investigaciones Biotecnológicas [San Martín] (IIB-INTECH), Universidad Nacional de San Martin (UNSAM)-Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), Departamento de Ciencia y Tecnología [Buenos Aires], Universidad Nacional de Quilmes (UNQ), Centre de Biochimie Structurale [Montpellier] (CBS), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Theoretical Chemistry, Lund University, Lund University [Lund], The Hospital for sick children [Toronto] (SickKids), European Molecular Biology Laboratory [Heidelberg] (EMBL), University of Toronto, Department of Bioengineering [Berkeley], University of California [Berkeley], University of California-University of California, University Medical Center of the Johannes Gutenberg-University Mainz, University Hospital of Padua, St. Jude Children’s Research Hospital [Memphis], Washington University School of Medicine in St. Louis, Washington University in St Louis, University Claude Bernard Lyon 1 (UCBL), Universidad Nacional de San Martin (UNSAM), European Molecular Biology Laboratory [Hamburg] (EMBL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, European Bioinformatics Institute [Hinxton] (EMBL-EBI), EMBL Heidelberg, Research Centre for Natural Sciences, Hungarian Academy of Sciences (MTA), and European Project: 778247,IDPfun

Subjects
MESH: Databases, Protein, MESH: Search Engine, AcademicSubjects/SCI00010, [SDV.BBM.BS] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Structural Biology [q-bio.BM], [SDV]Life Sciences [q-bio], media_common.quotation_subject, Biology, computer.software_genre, Intrinsically disordered proteins, 03 medical and health sciences, Databases, 0302 clinical medicine, Information and Computing Sciences, Genetics, Feature (machine learning), Database Issue, Humans, Databases, Protein, Representation (mathematics), Function (engineering), MESH: Tumor Suppressor Protein p53, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, media_common, Graphical user interface, Structure (mathematical logic), MESH: Intrinsically Disordered Proteins, 0303 health sciences, MESH: Humans, Database, [SDV.BBM.BS]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Structural Biology [q-bio.BM], business.industry, Protein, Biological Sciences, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Metadata, Search Engine, Intrinsically Disordered Proteins, State (computer science), Generic health relevance, Tumor Suppressor Protein p53, business, computer, 030217 neurology & neurosurgery, Environmental Sciences, Developmental Biology
Abstract

The Protein Ensemble Database (PED) (https://proteinensemble.org), which holds structural ensembles of intrinsically disordered proteins (IDPs), has been significantly updated and upgraded since its last release in 2016. The new version, PED 4.0, has been completely redesigned and reimplemented with cutting-edge technology and now holds about six times more data (162 versus 24 entries and 242 versus 60 structural ensembles) and a broader representation of state of the art ensemble generation methods than the previous version. The database has a completely renewed graphical interface with an interactive feature viewer for region-based annotations, and provides a series of descriptors of the qualitative and quantitative properties of the ensembles. High quality of the data is guaranteed by a new submission process, which combines both automatic and manual evaluation steps. A team of biocurators integrate structured metadata describing the ensemble generation methodology, experimental constraints and conditions. A new search engine allows the user to build advanced queries and search all entry fields including cross-references to IDP-related resources such as DisProt, MobiDB, BMRB and SASBDB. We expect that the renewed PED will be useful for researchers interested in the atomic-level understanding of IDP function, and promote the rational, structure-based design of IDP-targeting drugs.

Published
2021
Full Text
View/download PDF

89. The genomics of ecological flexibility, large brains,and long lives in capuchin monkeys revealedwith fecalFACS

Author

Carmen Soto Valverde, Jason A. Hodgson, Joseph D. Orkin, Mareike C. Janiak, Wesley C. Warren, Roman Krawetz, Daniela Tejada-Martinez, Lukas F. K. Kuderna, Anthony Di Fiore, Maria Pia Martin, Esther Lizano, Yoshihito Niimura, Claudia Fontsere, Shoji Kawamura, George H. Perry, Michael J. Montague, Saul Cheves Hernandez, João Pedro de Magalhães, Jia Tang, Tomas Marques-Bonet, Amanda D. Melin, Marc de Manuel, Javier del Campo, Washington University in St. Louis, Canada Research Chairs, Natural Sciences and Engineering Research Council of Canada, Alberta Children's Hospital Research Institute, Generalitat de Catalunya, Japan Society for the Promotion of Science, Methuselah Foundation, Comisión Nacional de Investigación Científica y Tecnológica (Chile), Biotechnology and Biological Sciences Research Council (UK), European Research Council, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Howard Hughes Medical Institute, Fundación 'la Caixa', and Natural Environment Research Council (UK)

Subjects
media_common.quotation_subject, Population, Brain size, Longevity, Genomics, Biology, Noninvasive genomics, Genome, 03 medical and health sciences, 0302 clinical medicine, Flow cytometry, education, 030304 developmental biology, media_common, Local adaptation, Comparative genomics, 0303 health sciences, education.field_of_study, Multidisciplinary, Ecology, Seasonality, Biological Sciences, Anthropology, 030217 neurology & neurosurgery, Reference genome
Abstract

Ecological flexibility, extended lifespans, and large brains have long intrigued evolutionary biologists, and comparative genomics offers an efficient and effective tool for generating new insights into the evolution of such traits. Studies of capuchin monkeys are particularly well situated to shed light on the selective pressures and genetic underpinnings of local adaptation to diverse habitats, longevity, and brain development. Distributed widely across Central and South America, they are inventive and extractive foragers, known for their sensorimotor intelligence. Capuchins have among the largest relative brain size of any monkey and a lifespan that exceeds 50 y, despite their small (3 to 5 kg) body size. We assemble and annotate a de novo reference genome for Cebus imitator. Through high-depth sequencing of DNA derived from blood, various tissues, and feces via fluorescence-activated cell sorting (fecalFACS) to isolate monkey epithelial cells, we compared genomes of capuchin populations from tropical dry forests and lowland rainforests and identified population divergence in genes involved in water balance, kidney function, and metabolism. Through a comparative genomics approach spanning a wide diversity of mammals, we identified genes under positive selection associated with longevity and brain development. Additionally, we provide a technological advancement in the use of noninvasive genomics for studies of free-ranging mammals. Our intra- and interspecific comparative study of capuchin genomics provides insights into processes underlying local adaptation to diverse and physiologically challenging environments, as well as the molecular basis of brain evolution and longevity., Funding was provided by Washington University in St. Louis, the Canada Research Chairs Program, and a National Sciences and Engineering Research Council of Canada Discovery Grant (to A.D.M.); the Alberta Children’s Hospital Research Institute (A.D.M., J.D.O., and M.C.J.); the Beatriu de Pinós postdoctoral programme of the Government of Catalonia’s Secretariat for Universities and Research of the Ministry of Economy and Knowledge 2017 BP 00265 (to J.D.O.); and the Japan Society for the Promotion of Science 15H02421 and 18H04005 (to S.K.). This work was partly funded by a Methuselah Foundation grant (to J.P.d.M.); and the Comisión Nacional de Investigación Científica y Tecnológica Chile through the doctoral studentship number 21170433 and the scholarship from the Higher Education Quality Improvement Program (MECESUP) AUS 2003 (to D.T.-M.). GenAge is funded by a Biotechnology and Biological Sciences Research Council Grant BB/R014949/1 (to J.P.d.M.). T.M.-B. is supported by funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 864203), BFU2017-86471-P (MINECO/FEDER, UE), “Unidad de Excelencia María de Maeztu”, funded by the Agencia Estatal de Investigación (CEX2018-000792-M), Howard Hughes International Early Career, Obra Social “La Caixa” and Secretaria d’Universitats i Recerca and CERCA Programme del Departament d’Economia i Coneixement de la Generalitat de Catalunya (GRC 2017 SGR 880). C.F. is supported by the “La Caixa” doctoral fellowship program. E.L. is supported by CGL2017-82654-P (MINECO/FEDER, UE). M.C.J. is supported by funding from the Natural Environment Research Council (NE/T000341/1)., With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2018-000792-M).

Published
2021

96. COVID-19 in people with multiple sclerosis: A global data sharing initiative

Author

Ruth Dobson, Lars Forsberg, Luc De Raedt, Doralina Guimarães Brum, Liesbet M. Peeters, Tomas Kalincik, Tina Parciak, Jeffrey A. Cohen, Robert McBurney, Gilles Edan, Helmut Butzkueven, Nick Rijke, Ingrid van der Mei, Clare Walton, Melinda Magyari, Guilherme Sciascia do Olival, Clément Gautrais, Kerstin Hellwig, Yves Moreau, Ashkan Pirmani, Edward De Brouwer, Lotte Geys, Paulo Rodrigues, Rodden M. Middleton, Hollie Schmidt, Juan Ignacio Rojas, Anibal Chertcoff, Nikola Lazovski, Rumen Ivanov, Arnfin Bergmann, Stefan Braune, Giancarlo Comi, Jan Hillert, Jérôme De Seze, Ricardo Alonso, Daniele Raimondi, Landon McKenna, Anneke van der Walt, Wim Van Hecke, Johana Bauer, Tim Spelman, Amber Salter, Alexander Stahmann, Céline Louapre, Bruce F. Bebo, Richard Nicholas, Yann Dauxais, Steve Simpson-Yap, Hasselt University, University Medical Center Göttingen, MS International Federation, KU Leuven, The University of Melbourne, CHU Pontchaillou, QMENTA, Swedish MS Registry, Accelerated Cure Project for MS, NeuroTransData, MS Forschungs- und Projektentwicklungs-gGmbH, UK MS Register, Washington University in St. Louis, USA/National Multiple Sclerosis Society, Hospital Universitario de CEMIC, Monash University, University of Tasmania, Bulgarian SmartMS COVID-19 Dataset, Katholisches Klinikum Bochum, Brazilian Multiple Sclerosis Association (ABEM), Cleveland Clinic, Icometrix – Icompanion, Queen Mary University of London, University Hospital Rigshospitalet, Universidade Estadual Paulista (Unesp), RELACOEM, EMA, Hospital Británico de Buenos Aires – EMA, Strasbourg University Hospital, COVISEP, Ospedale San Raffaele, Royal Melbourne Hospital, Sorbonne University, Imperial College London, Swansea University, Ramos Mejia Hospital – EMA, Magyari, Melinda/0000-0002-0972-5222, Pirmani, Ashkan/0000-0003-4549-1002, De Raedt, Luc/0000-0002-6860-6303, Walton, Clare/0000-0002-8128-6439, PEETERS, Liesbet, PARCIAK, Tina, Walton, Clare, GEYS, Lotte, Moreau, Yves, DE BROUWER, Edward, Raimondi, Daniele, PIRMANI, Ashkan, Kalincik, Tomas, Edan, Gilles, Simpson-Yap, Steve, DE RAEDT, Sylvie, Dauxais, Yann, Gautrais, Clement, Rodrigues, Paulo R., McKenna, Landon, Lazovski, Nikola, Hillert, Jan, Forsberg, Lars, SPELMANS, Nele, McBurney, Robert, Schmidt, Hollie, Bergmann, Arnfin, Braune, Stefan, Stahmann, Alexander, Middleton, Rodden, Salter, Amber, Bebo, Bruce F., Rojas, Juan, I, van der Walt, Anneke, Butzkueven, Helmut, van der Mei, Ingrid, Ivanov, Rumen, Hellwig, Kerstin, do Olival, Guilherme Sciascia, Cohen, Jeffrey A., Van Hecke, Wim, Dobson, Ruth, Magyari, Melinda, Brum, Doralina Guimaraes, Alonso, Ricardo, Nicholas, Richard, Bauer, Johana, Chertcoff, Anibal, de Seze, Jerome, Louapre, Celine, Comi, Giancarlo, and Rijke, Nick

Subjects
Gerontology, 2019-20 coronavirus outbreak, data collection, Coronavirus disease 2019 (COVID-19), International Cooperation, Information Dissemination, Clinical Neurology, Coronavirus Infections/complications, pandemics, Multiple sclerosis, 03 medical and health sciences, Betacoronavirus, 0302 clinical medicine, Risk Factors, medicine, 030212 general & internal medicine, humans, Future Perspectives, Data collection, Science & Technology, SARS-CoV-2, Neurosciences, COVID-19, registries, coronavirus 2, medicine.disease, Multiple Sclerosis/complications, 3. Good health, Clinical neurology, Data sharing, Treatment Outcome, Neurology, Neurology (clinical), Neurosciences & Neurology, Pneumonia, Viral/complications, Psychology, Life Sciences & Biomedicine, 030217 neurology & neurosurgery, Coronavirus Infections
Abstract

Made available in DSpace on 2020-12-12T02:15:20Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-09-01 Multiple Sclerosis International Federation Background: We need high-quality data to assess the determinants for COVID-19 severity in people with MS (PwMS). Several studies have recently emerged but there is great benefit in aligning data collection efforts at a global scale. Objectives: Our mission is to scale-up COVID-19 data collection efforts and provide the MS community with data-driven insights as soon as possible. Methods: Numerous stakeholders were brought together. Small dedicated interdisciplinary task forces were created to speed-up the formulation of the study design and work plan. First step was to agree upon a COVID-19 MS core data set. Second, we worked on providing a user-friendly and rapid pipeline to share COVID-19 data at a global scale. Results: The COVID-19 MS core data set was agreed within 48 hours. To date, 23 data collection partners are involved and the first data imports have been performed successfully. Data processing and analysis is an on-going process. Conclusions: We reached a consensus on a core data set and established data sharing processes with multiple partners to address an urgent need for information to guide clinical practice. First results show that partners are motivated to share data to attain the ultimate joint goal: better understand the effect of COVID-19 in PwMS. Biomedical Research Institute and Data Science Institute Hasselt University Department of Medical Informatics University Medical Center Göttingen MS International Federation ESAT-STADIUS KU Leuven Biomedical Research Institute and Data Science Institute Hasselt University Diepenbeek Belgium/ESAT-STADIUS KU Leuven Clinical Outcomes Research (CORe) Unit The University of Melbourne Department of Neurology CHU Pontchaillou Neuroepidemiology Unit Melbourne School of Population Global Health The University of Melbourne Department of Computer Science and Leuven.AI KU Leuven QMENTA Department of Clinical Neuroscience Swedish MS Registry iConquerMS People-Powered Research Network Accelerated Cure Project for MS NeuroTransData Study Group NeuroTransData MS Forschungs- und Projektentwicklungs-gGmbH UK MS Register COViMS St Louis USA/ Division of Biostatistics Washington University in St. Louis COViMS USA/National Multiple Sclerosis Society Neurology Department Hospital Universitario de CEMIC MSBase Registry Department of Neuroscience Central Clinical School Monash University The Australian MS Longitudinal Study (AMSLS) Menzies Institute for Medical Research University of Tasmania Bulgarian SmartMS COVID-19 Dataset LEOSS Department of Neurology Katholisches Klinikum Bochum Brazilian Multiple Sclerosis Association (ABEM) Cleveland Clinic MS COVID-19 Registry Mellen MS Center Cleveland Clinic Icometrix – Icompanion OptimiseMS Preventive Neurology Unit Queen Mary University of London The Danish Multiple Sclerosis Registry Department of Neurology University Hospital Rigshospitalet Universidade Estadual Paulista (Unesp) Faculdade de Medicina Botucatu/REDONE – Brazilian Registry of Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders RELACOEM Mental Health Area EMA MS and Demyelinating Diseases Hospital Británico de Buenos Aires – EMA Department of Neurology Strasbourg University Hospital COVISEP Institute of Experimental Neurology Ospedale San Raffaele Melbourne MS Centre Department of Neurology Royal Melbourne Hospital Institut du Cerveau ICM APHP – Hôpital Pitié Salpêtrière Sorbonne University Menzies Institute for Medical Research University of Tasmania Imperial College London Swansea University Multiple Sclerosis University Center Ramos Mejia Hospital – EMA Universidade Estadual Paulista (Unesp) Faculdade de Medicina Botucatu/REDONE – Brazilian Registry of Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders

Published
2020
Full Text
View/download PDF

97. Geomstats: A Python Package for Riemannian Geometry in Machine Learning

Author

Miolane, Nina, Brigant, Alice Le, Mathe, Johan, Hou, Benjamin, Guigui, Nicolas, Thanwerdas, Yann, Heyder, Stefan, Peltre, Olivier, Koep, Niklas, Zaatiti, Hadi, Hajri, Hatem, Cabanes, Yann, Gerald, Thomas, Chauchat, Paul, Shewmake, Christian, Kainz, Bernhard, Donnat, Claire, Holmes, Susan, Pennec, Xavier, Department of Statistics - Stanford University, Stanford University [Stanford], Université Côte d'Azur (UCA), E-Patient : Images, données & mOdèles pour la médeciNe numériquE (EPIONE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM), Université Panthéon-Sorbonne (UP1), Frog labs AI San Francisco, Imperial College London, Technische Universität Ilmenau (TU ), Institut de Mathématiques de Jussieu - Paris Rive Gauche (IMJ-PRG (UMR_7586)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), IRT SystemX (IRT SystemX), Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS), Machine Learning and Information Access (MLIA), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Washington University in St Louis, ERC G-Statistics No 786854, ANR UCAJEDI No ANR-15-IDEX-01, 3IA Côte d'Azur ANR-19-P3IA-0002, Inria@SiliconValley, GeomStats, G-Statistics, ANR: 15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), ANR-19-P3IA-0002,3IA Côte d'Azur,Nice - Interdisciplinary Institute for Artificial Intelligence(2019), European Project: 786854,H2020 Pilier ERC,ERC AdG(2018), and ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019)

Subjects
FOS: Computer and information sciences, Computer Science - Machine Learning, [MATH.MATH-DG]Mathematics [math]/Differential Geometry [math.DG], [INFO]Computer Science [cs], Computer Science - Mathematical Software, Mathematical Software (cs.MS), Machine Learning (cs.LG)
Abstract

International audience; We introduce Geomstats, an open-source Python toolbox for computations and statistics on nonlinear manifolds, such as hyperbolic spaces, spaces of symmetric positive definite matrices, Lie groups of transformations, and many more. We provide object-oriented and extensively unit-tested implementations. Among others, manifolds come equipped with families of Riemannian metrics, with associated exponential and logarithmic maps, geodesics and parallel transport. Statistics and learning algorithms provide methods for estimation, clustering and dimension reduction on manifolds. All associated operations are vectorized for batch computation and provide support for different execution backends, namely NumPy, PyTorch and TensorFlow, enabling GPU acceleration. This paper presents the package, compares it with related libraries and provides relevant code examples. We show that Geomstats provides reliable building blocks to foster research in differential geometry and statistics, and to democratize the use of Riemannian geometry in machine learning applications. The source code is freely available under the MIT license at http://geomstats.ai.

Published
2020

98. Accelerating the Evolution of Nonhuman Primate Neuroimaging

Author

Olivier Coulon, Michael P. Milham, Patrik Lindenfors, Karl-Heinz Nenning, Xiaojin Liu, Ravi S. Menon, Stephanie J. Forkel, Adam Messinger, Zheng Wang, Alexander Thiele, Luciano Simone, Benjamin Jung, Chika Sato, Jamie Nagy, Sean Froudist-Walsh, Kelvin Mok, Renée Hartig, Julien Sein, Alessandro Gozzi, Julien Vezoli, Tomoko Sakai, Lynn Uhrig, Martine Meunier, Christienne G. Damatac, Bonhwang Koo, Roberto Toro, Rogier B. Mars, Henrietta Howells, Lea Roumazeilles, Ming Zhan, Ann-Marie Mallon, Román Rossi-Pool, Elinor L. Sullivan, Yannick Becker, Doris Y. Tsao, Antoine Grigis, Lei Ai, Céline Amiez, Sara Wells, Reza Rajimehr, Aki Nikolaidis, Anna S. Mitchell, Simon M. Reader, Michele A. Basso, Béchir Jarraya, Amir Raz, Wim Vanduffel, Charles R.E. Wilson, Brian E. Russ, Christopher R. Madan, Orlin S. Todorov, Wasana Madushanka, Carole Guedj, Mark A. Pinsk, Clémentine Bodin, Hugo Merchant, Jennifer Nacef, Damien A. Fair, Anna W. Roe, Sze Chai Kwok, Stephen J. Sawiak, Essa Yacoub, Bastien Cagna, Kevin N. Laland, Wilbert Zarco, Charles E. Schroeder, Ting Xu, P. Christiaan Klink, Stanislas Dehaene, Takuya Hayashi, Matthew F. S. Rushworth, Amir Shmuel, Fadila Hadj-Bouziane, Katja Heuer, Ioana-Sabina Rautu, Andrew S. Fox, Austin Benn, Sabine Kastner, Thomas Brochier, Emmanuel Procyk, Marco Pagani, David C. Van Essen, Frank Q. Ye, Dirk Jan Ardesch, Régis Trapeau, Jakob Seidlitz, Marike Schiffer, Bassem Hiba, John H. Morrison, David A. Rudko, Paula L. Croxson, Patrick Friedrich, Augix Guohua Xu, Lazar Fleysher, Piotr Majka, Jonathan Smallwood, Aihua Chen, Timothy D. Griffiths, Fabien Balezeau, Stefan Everling, Michael C. Schmid, Robert Leech, Leslie G. Ungerleider, Mark G. Baxter, Afonso C. Silva, Clare Kelly, Zhi-ming Shen, Daniel S. Margulies, Mark J. Prescott, Pascal Belin, Erwin L. A. Blezer, Igor Kagan, Suliann Ben Hamed, David A. Leopold, Adrien Meguerditchian, Wendy Jarrett, Michel Thiebaut de Schotten, Nikoloz Sirmpilatze, Julia Sliwa, Henry Kennedy, Vikas Pareek, Yong-di Zhou, Michael Ortiz-Rios, Sherif Hamdy El-Gohary, Susann Boretius, Christopher I. Petkov, Pamela Garcia-Saldivar, Bella Williams, Jordy Tasserie, Hank P. Jedema, Jerome Sallet, Pieter R. Roelfsema, Winrich A. Freiwald, Eduardo A. Garza-Villarreal, Noam Harel, Caspar M. Schwiedrzik, Kevin Marche, Colline Poirier, Yang Gao, Henry C. Evrard, Ashkan Alvand, ANS - Cellular & Molecular Mechanisms, Laboratoire des Sciences de l'Information et des Systèmes (LSIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS), Institut cellule souche et cerveau (SBRI), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM), Collège de France - Chaire Psychologie cognitive expérimentale, Collège de France (CdF (institution)), Institut des sciences cognitives Marc Jeannerod - Centre de neuroscience cognitive - UMR5229 (ISC-MJ), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Consortium, PRIMatE Data Exchange Global Collaboration Workshop and, Nathan S. Kline Institute for Psychiatric Research (NKI), New York State Office of Mental Health, Newcastle University [Newcastle], Max Planck Institute for Human Cognitive and Brain Sciences [Leipzig] (IMPNSC), Max-Planck-Gesellschaft, Medical Oncology, Department of Internal Medicine, Università Cattolica del Sacro Cuore [Roma] (Unicatt), Voice Neurocognition Laboratory, University of Glasgow, Oregon Health and Science University [Portland] (OHSU), Manchester Royal Infirmary, University of Manchester [Manchester], Princeton Neuroscience Institute [Princeton], University of Pennsylvania [Philadelphia], National Institute of Mental Health (NIMH), Harvard Medical School [Boston] (HMS), Washington University in St Louis, Laboratoire de psychologie cognitive (LPC), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Institut des sciences cognitives Marc Jeannerod - Centre de neuroscience cognitive - UMR5229 (CNC), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, New York University [New York] (NYU), NYU System (NYU), State Key Laboratory of Novel Software Technology, University of Nanjing, Center for Nanotechnology Innovation, @NEST (CNI), National Enterprise for nanoScience and nanoTechnology (NEST), Scuola Normale Superiore di Pisa (SNS)-Scuola Universitaria Superiore Sant'Anna [Pisa] (SSSUP)-Istituto Italiano di Tecnologia (IIT)-Consiglio Nazionale delle Ricerche [Pisa] (CNR PISA)-Scuola Normale Superiore di Pisa (SNS)-Scuola Universitaria Superiore Sant'Anna [Pisa] (SSSUP)-Istituto Italiano di Tecnologia (IIT)-Consiglio Nazionale delle Ricerche [Pisa] (CNR PISA), Unité Analyse et Traitement de l'Information (UNATI), Service NEUROSPIN (NEUROSPIN), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Neuroimagerie cognitive - Psychologie cognitive expérimentale (UNICOG-U992), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Saclay (COmUE), Institut cellule souche et cerveau (U846 Inserm - UCBL1), Royal Netherlands Academy of Arts and Sciences (KNAW), East China Normal University [Shangaï] (ECNU), The Computational, Cognitive and Clinical Neuroimaging Lab, Imperial College London, Medical Research Council Harwell (Mammalian Genetics Unit and Mary Lyon Centre), Medical Research Counc, Station de primatologie (SP), Centre National de la Recherche Scientifique (CNRS), Institute of Language, Communication and the Brain (ILCB), The University of Western Ontario, Instituto de Neurobiología, Universidad Nacional Autónoma de México (UNAM), Institute of integrative biology (Liverpool), University of Liverpool, McGovern Institute for Brain Research [Cambridge], Massachusetts Institute of Technology (MIT), University of Cambridge [UK] (CAM), Rockefeller University [New York], McConnell Brain Imaging Centre (MNI), Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Laboratory for Neuro- and Psychofysiology, katho, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of York [York, UK], Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Tianjin University of Science and Technology (TUST), Child Mind Institute, Center for Magnetic Resonance Research [Minneapolis] (CMRR), University of Minnesota Medical School, University of Minnesota System-University of Minnesota System, Institut cellule souche et cerveau / Stem Cell and Brain Research Institute (U1208 Inserm - UCBL1 / SBRI), Icahn School of Medicine at Mount Sinai [New York] (MSSM), University Medical Center [Utrecht], Radboud university [Nijmegen], Chaire Psychologie cognitive expérimentale, Centre de recherche en neurosciences de Lyon (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of St Andrews [Scotland], Stockholm University, Hôpital du Bocage, Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Princeton University, Utrecht University [Utrecht], Netherlands Institute for Neuroscience, Wellcome Trust Centre for Integrative Neuroimaging (WIN - FMRIB), University of Oxford [Oxford], National Institute of Environmental Health Sciences [Durham] (NIEHS-NIH), National Institutes of Health [Bethesda] (NIH), Oregon National Primate Research Center (ONPRC), California Institute of Technology (CALTECH), Johns Hopkins University (JHU), The PRIMatE Data Exchange (PRIME-DE) Global Collaboration Workshop and Consortium, ANR-16-CONV-0002,ILCB,ILCB: Institute of Language Communication and the Brain(2016), Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Complex Trait Genetics, Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique (INRA), and Vanduffel, Wim

Subjects
Primates, 0301 basic medicine, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, education, Neuroimaging, Article, [SPI]Engineering Sciences [physics], 03 medical and health sciences, 0302 clinical medicine, London, Psychology, Animals, Humans, Sociology, ComputingMilieux_MISCELLANEOUS, Cognitive science, Science & Technology, Human Connectome Project, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, Action, intention, and motor control, Information Dissemination, General Neuroscience, Neurosciences, Brain, [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, Congresses as Topic, Nonhuman primate, 030104 developmental biology, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neurosciences & Neurology, Life Sciences & Biomedicine, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, 030217 neurology & neurosurgery
Abstract

Contains fulltext : 217200.pdf (Publisher’s version ) (Closed access) Nonhuman primate neuroimaging is on the cusp of a transformation, much in the same way its human counterpart was in 2010, when the Human Connectome Project was launched to accelerate progress. Inspired by an open data-sharing initiative, the global community recently met and, in this article, breaks through obstacles to define its ambitions. 4 p.

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results